In this paper, several new applications for subspace methods are introduced, including: (1) a subspace method used for overcoming generalization/overrtting problem for applications such as face recognition, (2) multiple subspaces constructed from the original sub-space to accommodate the inputs distorted by scaling, rotating, translating etc, and (3) a subspace framework based on which the orig...

Signal parameter estimation from sensor array data is a problem that is encountered in many engineering applications. Under the assumption of Gaussian distributed emitter signals, the so-called stochastic maximum likelihood (ML) technique is known to be statistically efficient, i.e., the estimation error covariance attains the Cramer-Rao bound (CRB) asymptotically. Herein, it is shown that also...

The performance of the MUSIC estimator is studied by simulations if the estimator is applied for delay estimation of a direct sequence spread spectrum (DS/SS) signal corrupted by multiple access or multipath interference. Special emphasis is on the sensitivity to estimation errors on the dimension of the signal subspace, which case is also analytically investigated. The results show that the MU...

In this paper experimentally, the friction-stir welding of the polypropylene sheets with 40% glass fiber has been investigated. Comparison to other welding methods, the strength of the joint is the most important feature in this process. Many parameters such as tool geometry, rotational speed, linear velocity, and tilt angle are very important as input parameters in this type of welding. Theref...

A sequence ${T_n}_{n=1}^{infty}$ of bounded linear  operators on a separable infinite dimensional Hilbert space $mathcal{H}$ is called subspace-diskcyclic with respect to the closed subspace $Msubseteq mathcal{H},$ if there exists a vector $xin mathcal{H}$ such that the disk-scaled orbit ${alpha T_n x: nin mathbb{N}, alpha inmathbb{C}, | alpha | leq 1}cap M$ is dense in $M$. The goal of t...